Implementing a practical adaptive cruise controller running on an embedded microprocessor can improve control performance. Learn how Hitachi Automotive Systems used Simulink® and Model Predictive Control Toolbox™ to:

  • Design an adaptive cruise controller with a stop-and-go function using model predictive control technology
  • Simulate various driving scenarios to verify and validate controller performance
  • Implement a controller on the embedded microprocessor and validate performance in the experimental vehicle

Simulink and Model Predictive Control Toolbox help you reduce controller development time because you use simulation models to design and verify the algorithm and deploy it to hardware using automatic code generation.

This paper was developed for and presented at the FAST-zero '17 conference organized by JSAE. The paper is published on mathworks.com with permission from JSAE.

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